Projects, Talks, and Writing

We present a machine learning approach for the task of determining the
infrared host galaxies of radio emissions detected in wide-area radio surveys.
Our method is trained on both expert cross-identifications and crowdsourced
cross-identifications from Radio Galaxy Zoo.